Cache-efficient wavelet lifting in JPEG 2000

S. Chatterjee, Christopher Brooks
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引用次数: 39

Abstract

The discrete wavelet transform (DWT), the technology at the heart of the JPEG 2000 image compression system, operates on user-definable tiles of the image, as opposed to fixed-size blocks of the image as does the discrete cosine transform (DCT) used in JPEG. This difference reduces artificial blocking effects but can severely stress the memory system. We examine the interaction of the DWT and the memory hierarchy, modify the structure of the DWT computation and the layout of the image data to improve cache and translation lookaside buffer (TLB) locality, and demonstrate significant performance improvements of the DWT over a baseline implementation. Our optimized DWT implementation exhibits speedups of up to 4/spl times/ over the DWT in a JPEG 2000 reference implementation.
JPEG 2000中缓存效率高的小波提升
离散小波变换(DWT)是JPEG 2000图像压缩系统的核心技术,它对用户可定义的图像块进行操作,而不是像JPEG中使用的离散余弦变换(DCT)那样对图像的固定大小块进行操作。这种差异减少了人为阻塞效应,但也会给记忆系统带来严重压力。我们研究了DWT和内存层次结构的相互作用,修改了DWT计算的结构和图像数据的布局,以改善缓存和翻译暂置缓冲区(TLB)的局部性,并展示了DWT在基线实现上的显著性能改进。我们优化的DWT实现比JPEG 2000参考实现中的DWT速度提高了4倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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